An AICodeKing walkthrough uses a fictional shop dataset to evaluate DeepSeek Harness. The task fixes canceled-order and returned-unit handling without changing the CSV or weakening existing tests. The demonstration checks the repaired calculation before turning it into a report.
The walkthrough builds a self-contained HTML report and adds a product filter while keeping whole-shop totals clearly labeled. It also shows steering a slow task, inspecting workspace files and checking the result rather than treating a successful tool response as sufficient evidence.
The final sections explore a small checklist plugin, a one-time scheduled task and different tool-calling modes. The presentation emphasizes permission scope, inspecting executable plugins and verifying actual outputs; it does not establish performance across large production codebases.
Watch on YouTube
